Triple
T37778273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Município de Santa Maria de Jetibá |
E941749
|
entity |
| Predicate | localizadoNoContinente |
P14704
|
FINISHED |
| Object | América do Sul |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: América do Sul | Statement: [Município de Santa Maria de Jetibá, localizadoNoContinente, América do Sul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localizadoNoContinente Context triple: [Município de Santa Maria de Jetibá, localizadoNoContinente, América do Sul]
-
A.
isInContinent
chosen
Indicates that one place or region is geographically located within the boundaries of a specific continent.
-
B.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
-
C.
livedOnContinent
Indicates that an entity resided for a period of time on a specified continent.
-
D.
continentFound
Indicates that a specified continent is the location where a particular entity is found or occurs.
-
E.
observedInContinent
Indicates that something has been observed or recorded as occurring within a particular continent.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:19 p.m.